Understanding role of Ethics in managing AI in modern business #245007

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This 5-day intensive course explores the critical role of ethics in the development, deployment, and management of Artificial Intelligence (AI) within modern business contexts. Participants will gain a deep understanding of the ethical dilemmas and societal implications of AI technologies, and develop the skills to navigate these challenges responsibly.

Upon successful completion of this course, participants will be able to:
• Understand the ethical principles and frameworks relevant to AI development and deployment (e.g., fairness, transparency, accountability, privacy).
• Identify and analyze potential ethical risks and biases associated with AI systems.
• Develop and implement ethical guidelines and policies for AI development and use within their organizations.
• Assess the societal impact of AI technologies and their potential for social good or harm.
• Communicate effectively about ethical considerations related to AI to stakeholders, including customers, employees, and the public.
• Develop a responsible and ethical approach to AI innovation and adoption.

This course is designed for a wide range of professionals, including:
• Business leaders and executives
• Data scientists and AI engineers
• IT professionals
• Legal and compliance professionals
• Marketing and sales professionals
• Anyone involved in the development, deployment, or management of AI systems

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

• Introduction to AI and its Applications in Business
• Key Ethical Principles in AI: Fairness, Transparency, Accountability, Privacy, Safety
• Bias in AI Systems: Causes, Consequences, and Mitigation Strategies
• Ethical Frameworks for AI Development (e.g., Asilomar AI Principles, OECD AI Principles)

• The Societal Impact of AI: Job Displacement, Inequality, Privacy Concerns
• AI and the Law: Legal and Regulatory Frameworks for AI
• The Role of Government and Policy in AI Governance
• Building Trust and Public Confidence in AI

• Ethical Considerations in AI Design and Development
• Data Ethics and Privacy in AI
• Explainable AI and Algorithmic Transparency
• Building Trustworthy and Robust AI Systems

• Identifying and Assessing AI Risks
• Developing and Implementing AI Ethics Policies and Guidelines
• AI Risk Management Frameworks
• Ensuring Compliance with AI Regulations and Standards

• Emerging Trends and Challenges in AI Ethics
• The Role of Ethical Leadership in the Age of AI
• Developing a Responsible AI Strategy for Your Organization
• Case Studies and Real-World Examples
• Q&A and Wrap-up Session

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